TensoredFilter

class TensoredFilter(cal_matrices, substate_labels_list)

Tensored measurement error mitigation filter.

Produced from a tensored measurement calibration fitter and can be applied to data.

Initialize a tensored measurement error mitigation filter using the cal_matrices from a tensored measurement calibration fitter.

Parameters

• cal_matrices (matrix) – the calibration matrices for applying the correction.

• substate_labels_list (list) – for each calibration matrix a list of the states (as strings, states in the subspace)

Attributes

TensoredFilter.cal_matrices	Return cal_matrices.
TensoredFilter.nqubits	Return the number of qubits.
TensoredFilter.qubit_list_sizes	Return _qubit_list_sizes.
TensoredFilter.substate_labels_list	Return _substate_labels_list

Methods

TensoredFilter.apply(raw_data[, method])

Apply the calibration matrices to results.